1600 Predictive Modeling Jobs - Page 35

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Ab Initio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Ab Initio- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

JR: R00213657 Experience: 8-10Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - GN Industry - Utility SAP DM Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Marketing Strategies Good to have skills: Strong problem-solving skills, adaptability to changing business needs, and expertise in cross-functional collaboration. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Manage business operations, drive performance optimization, and lead cross-functional teams to achieve organizational objectives. Bring your best skills forward to excel in the role: Utilities retail and customer services process & domain expertise Expertise in one or more CRM platforms such as SAP C4C/ Salesforce/ Oracle CX in areas like Services, Sales & Marketing Good Understanding of CRM integration with Utilities systems such IVR/CTI, CIS, MDM, Outage Management etc. Would be advantageous but not mandatory:CRM certification (Salesforce/SAP CRM/Oracle CX) Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Your experience counts! Full Time Graduation Strong communication skills, demonstrating skills in sharing and explaining complex concepts, creative and pro-active thinking, and situational adaptation of these skills Preferred to have worked on client facing roles and basic ABAP/debugging skills. Understanding of AMI offerings of SAP ISU DM. Experience in Utilities and its business process is a must Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP for Utilities Energy Data Management Device Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years of complete education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and meeting the needs of the organization. Your typical day will involve designing and developing applications, collaborating with the team, and configuring applications based on business requirements. You will also be involved in troubleshooting and resolving any issues that arise. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design and develop applications based on business process and application requirements.- Collaborate with the team to ensure smooth functioning of applications.- Configure applications to meet the specific needs of the organization.- Troubleshoot and resolve any issues that arise with applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Utilities Energy Data Management Device Management.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP for Utilities Energy Data Management Device Management.- This position is based at our Nagpur office.- 15 years of complete education is required. Qualification 15 years of complete education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Elastic Stack (ELK) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve providing solutions to problems for your immediate team and across multiple teams, ensuring smooth operations and successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for application-related matters- Manage and coordinate the activities of the application development team- Ensure the successful delivery of projects within the defined scope, timeline, and budget- Identify and mitigate risks and issues related to application development- Ensure compliance with coding standards and best practices- Collaborate with stakeholders to gather requirements and define project objectives- Develop and maintain technical documentation- Provide technical guidance and mentorship to team members- Stay up-to-date with industry trends and advancements in application development Professional & Technical Skills: - Must To Have Skills: Proficiency in Elastic Stack (ELK)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Elastic Stack (ELK)- This position is based at our Bengaluru office- A BE degree is required Qualification BE

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Navi Mumbai

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD)- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Marketing Data Scientist Role Summary IMEA Regional Marketing is looking for a talented and highly motivated individual to join our team in the role of Marketing Data Scientist. In this role, you will work with marketing and performance managers on translating complex data findings into useful insights that guide decision-making and future marketing investment. You will be responsible for providing useful insights, recommendations, and measurements of marketing campaigns that will drive innovation and efficiency gains for the business. The candidate will define and execute data-driven, analytical solutions to engage our customers and help solve commercial problems. This role is not about crunching numbers, its about finding compelling insights within data and using your exceptional business and communications skills to translate those insights into action. As one of the masterminds behind our data-driven campaign planning, forecasting and analysis, youll spend your time digging into big, complex data sets, customer touch points and journeys. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with marketing and business leaders. You will work closely with the Campaign Leads and Marketing Managers to create insights that shape the campaign strategy of our product and solutions, optimize content, and assess the impact of various initiatives. You will also be responsible for surfacing key business insights and recommendations in campaign planning and reviews. Our team of entrepreneurial, enthusiastic, and customer-centric marketeers are helping global and customers in the Indian subcontinent, Middle East, and sub-Saharan Africa integrate their domestic and international supply chains to reach their end-customers. You will have the opportunity to partner with marketing, sales, revenue operations, and finance to develop strategies and analytics designed to enable informed decision making and lead efforts to identify gaps in our data to better drive engagement, client acquisition, retention, and revenue. Working in close collaboration with a diverse and dynamic team of colleagues around the world, you will be part of setting the direction for our regional marketing team and collaborating across the organization to measure impact performance on all marketing activations. REQUIRED COMPETENCIES AND SKILLS: Basic Qualifications: Bachelor’s degree is required with emphasis on analytical skills – e.g. E-commerce, Data Science, Statistics, Business, Computer Science, or equivalent practical experience 5 years of experience in a Marketing Operations, Demand Generation, Data Planner, or related role, ideally at a B2B technology company or agency. Demonstrated proficiency in analytical work in marketing/sales, or a business operations and analytics environment, including analyzing data with spreadsheet software (e.g. Excel Sheets) and database query (e.g. SQL) experience Champion of data and visualization with strong, effective presentation and story-telling skills. Demonstrated ability to conduct sophisticated and creative analysis to solve business problems and translate the results into actionable deliverables, clearly-written summaries/presentations, and region-wide communications. Power BI experience and/or related business intelligence tools is highly preferred. Experience with marketing analytics platforms like Google Analytics is a plus CRM: Salesforce Sales Cloud experience with explicit knowledge of leads flow process, data hygiene and reporting dashboards Strong skills in data analysis, statistics, programming (e.g. SQL, R or Python) Strong stakeholder management skills and ability to manage interfaces at all levels in the organisation Strong verbal and written communications skills and ability to articulate complex insights to cross-functional audiences. Digitally savvy. Preferred Qualifications: Experience with marketing analysis and data-backed customer segmentation is a plus. Understanding of digital marketing, digital logistics platforms, and solutions. Business acumen and communication skills; proficiency in translating data into actionable insights and digestible formats for the business. Highly organized with multi-tasking skills; efficient in ambiguous situations. Demonstrated ability to work across organizational boundaries. Knowledge about digital campaign landscape, cloud computing market and technologies Your personality Strong results orientation with a proven track record of flawless execution and strong attention to detail Demonstrated flexibility, creativity and problem-solving skills Comfortable working in a demanding, fast-paced changing environment that is going through high growth Self-motivated, enthusiastic, and organized. Independent contributor and self-starter who takes ownership of assignments and sees them to completion A collaborator who can work across diverse teams and build rapport to gain the trust and confidence from local and international stakeholders. Hands-on, can-do attitude, and willing to propose and try new things Complete integrity with sensitive and confidential information Curious by nature, motivated by learning and by taking on challenges Approachable and social – we’re a colorful and diverse team with big ambitions, high energy who also has plenty of fun along the way Great organizational skills and attention to detail; able to execute and prioritize multiple tasks simultaneously. Team player, but ability to work independently and be a self-starter. Responsibilities: This is a hands-on position; the ideal candidate must be willing to roll-up their sleeves and work directly with large datasets, conduct data analysis, build self-service reporting tools and dashboards in an environment of rapid growth and increasing complexity, and communicate complex business insights in a clear and precise manner. The candidate must be a self-starter with a bias towards independent problem solving, a passion for identifying and eliminating bottlenecks, and has the foresight to anticipate business needs, make tradeoffs, and balance business dynamics despite constraints. The ideal candidate must also earn trust through performance and relationship building, think analytically about business challenges, and have experience in marketing campaign management. Support the full spectrum of regional marketing data analytics activities Monitor and forecast marketing and sales trends as well as analyze customer and prospect data and downstream funnel performance using Salesforce, Power BI, and other tools Deep dive into data to investigate trends, topical issues, uncover insights, and explore new opportunities for our business growth. Analyse small to large and complex data sets using a variety of tools such as Google Analytics, Salesforce Einstein Analytics, SQL , R and BI tools Use CRM tool to track performance and analyze data against monthly goals Integrate emerging technologies (AI-powered tools..etc ) with marketing platforms to: Build and deploy predictive models to forecast customer behaviour, sales trends, and marketing campaign outcomes. Develop custom scripts or tools to automate routine marketing analysis tasks Cross-channel attribution and multi-touchpoint analysis – develop multi-touchpoint attribution models to understand the impact of various marketing channels on conversion. Works closely with marketing teams to develop dashboards, extract and analyze data, find opportunities, and develop solid recommendations to increase and optimize campaign performance Examine campaign return on investment and conduct demand waterfall analysis to improve profitability of campaigns and performance throughout the sales funnel Utilise data-driven insights to enable leadership to optimize budget and resource allocation Understand how data, and content should be used to optimize conversion rates for a digital experience Identify gaps and pioneer new ways to optimize campaign planning and execution and improve data integrity. Help develop and deliver analytics or measurement frameworks that foster a Test & Learn culture Assist in the development of a structure for managing data analysis requests that can be scaled and improved upon ongoing; e.g. automating ongoing BAU reporting Prepare reports and present results to internal collaborators and management Contribute to the Regional Head of Marketing reporting cadence to ensure weekly, monthly, and quarterly reports are completed to meet timelines with data accuracy Facilitate adoption of the reporting standards by consistently applying them in daily work and educating end users on applicable usage/interpretation of different methodologies Partner with internal regional and global stakeholders from cross-functional and products teams, data engineers to capture business requirements, shape data, and set up processes to design and build reporting solutions.

BKMSOLVENTS is looking for Social Media Analytics Professional to join our dynamic team and embark on a rewarding career journey Data Collection: Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis: Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics: Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis: Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights: Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment: Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy: Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

THE YOUNG WINGS is looking for Visa Specialist to join our dynamic team and embark on a rewarding career journey Visa Application Processing:Receive and review visa applications, ensuring all required documents are submitted Verify the accuracy and completeness of application forms and supporting materials Interviews and Verification:Conduct interviews with visa applicants to assess the purpose of travel and validate information Verify the authenticity of supporting documents provided by applicants Adherence to Immigration Policies:Interpret and apply immigration laws, policies, and regulations in the visa application process Stay updated on changes to immigration policies and communicate updates to relevant stakeholders Communication with Applicants:Communicate with visa applicants to provide information on application status, requirements, and procedures Address inquiries and provide assistance to applicants throughout the visa application process Decision Making:Evaluate visa applications based on established criteria and make informed decisions on approvals or rejections Document and record decisions in the visa processing system Collaboration with Authorities:Collaborate with government agencies, embassies, and consulates to obtain information and support in visa processing Liaise with relevant authorities to resolve complex cases or issues Record Keeping and Reporting:Maintain accurate and detailed records of visa applications and decisions Generate reports on visa application statistics and trends Customer Service:Provide excellent customer service to visa applicants, addressing concerns and ensuring a positive applicant experience Assist in resolving issues related to visa applications and entry requirements Assist clients in visa processing and documentation.

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

Job Position: Credit Risk Analyst (Periodic review process) Location: Thane Job Description: The Credit Risk Analyst will be responsible for evaluating the creditworthiness of potential clients and assessing the overall risk associated with credit decisions. This role involves analyzing financial data, monitoring credit trends, and developing risk assessment models to support informed decision-making. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for driving financial performance while ensuring compliance with regulatory standards. What will you do: Analyze financial statements, credit reports, and other relevant data to assess the credit risk of potential clients. Monitor existing client accounts to identify potential credit risks and trends. Prepare regular reports on credit risk exposure and present findings to management. Work closely with the underwriting teams to provide insights and recommendations regarding credit decisions. Collaborate with compliance and legal teams to ensure adherence to regulatory requirements. Assist in the development and validation of predictive models to enhance credit decision-making processes. Stay updated on market trends, economic conditions, and regulatory changes that may impact credit risk. Investigations include the gathering of data from various sources and systems and interpreting the data to manage the risk. Qualifications: Masters degree in Finance. 2+ years of experience in credit risk analysis, preferably within the payment processing or financial services industry. Strong analytical skills with the ability to interpret complex financial data. Knowledge of credit risk assessment frameworks and regulatory requirements. Excellent communication skills, both written and verbal, with the ability to present findings to stakeholders. Detail-oriented, organized, and able to manage multiple priorities effectively.

About us. Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.. Who you will work with. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com. What you’ll do. Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams.. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation.. Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis. Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time. Assist with research of secondary information to validate data trends. Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate. Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data. Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets. Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members. Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments. Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods. About you. 4-6 years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree. Expertise working with large data sets and proficiency in SQL, Excel. Experience in Python. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. Excellent verbal, written, and data visualization skills. Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog. Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.). Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus. Experience with Git and modern software development workflow is a plus. Agile way of working and tools (Jira, Confluence, Miro). What makes us a great place to work. We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents... 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Highly skilled and experienced Data Engineer with AI/ML expertise. This role is essential to maintain continuity and leadership for our AI-driven initiatives, particularly Vantage AI, which is currently gaining significant traction across business units. The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Development and deployment of Vantage AI. AI/ML initiatives in Anchanto. Insight generation. Apply statistical methods and predictive modeling to solve real-world problems. Machine learning and AI developments. Develop Data engineering solutions and orchestration. Essential Requirements: 2+ years of experience in data engineering or data science roles Ability to build and deploy machine learning models Expertise in AWS cloud platforms and containerization Hands on in data scraping techniques. Strong knowledge of Python and associated ML/data science libraries (eg, scikit-learn, pandas, PySpark, Sagemaker) Expertise in ETL and data pipeline design. Personal Attributes: Strong problem-solving skills. Good communication Engineering degree. Ability to work independently.

Paramatrix Technologies Pvt. Ltd is looking for Junior AL/ML to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Overview Experience: 10 + Years Shift: 2-11 pm Location : Hyderabad /Bangalore /Chennai About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. Responsibilities Client & Agency Service: We are seeking an experienced Data Analytics Manager with 10+ years of proven management and leadership experience. The ideal candidate will have strong Data Analytics skills and the ability to manage a growing team. This role involves overseeing projects through all stages of the project lifecycle, including initiation, scoping, planning, execution, and execution. This role will work closely with the project management team onshore to ensure that both onshore and offshore teams are aligned on weekly deliverables. Responsibilities: Leadership & Team Management Lead projects, manage people, and deliver results to business leads Focus on mastering team management and progressing into firm leadership Provide project oversight and strategic direction Collaborate with all employee levels to deliver meaningful work Manage a team of data analysts and assisting with unlocking their potential and shaping their growth Data Analytics & Strategy Translate business problems into analytical frameworks and models Develop and maintain data models, reporting systems, dashboards, and automation tools to support business decisions Implement quality control measures to ensure data integrity, consistency, and reliability. Guide the team in performing statistical analysis, predictive modeling, and business intelligence reporting. Design and implement technical processes for data intake, validation, mining, and engineering Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Oversee the creation and delivery of reports, insights, and key performance metrics for business functions You will be working closely with: Global Finance Leaders / members of agency Finance Team and will have responsibilities to achieve group goals with respect to Reporting, Planning, Forecasting, Working Capital, and accounting support. Qualifications This may be the right role for you if you have. Requirements: Bachelor’s degree. Total 10+ overall years of experience in relevant field. 3+ years of management experience 8+ years of data analytics experience Proactive communicator and problem solver with strong attention to detail. Strong understanding of data confidentiality. Familiarity with Excel, PowerQuery, Alteryx Proven ability to influence cross-functional teams without direct authority. Ability to manage multiple high-priority projects simultaneously.

We are looking for enthusiastic individuals passionate about AI and ML to join our internship program. As an intern at Pragyan AI, you will have the opportunity to work on real-world projects, collaborate with experienced professionals, and gain valuable hands-on experience in cutting-edge technologies. Requirements: Currently pursuing a degree in Computer Science, Engineering, or related field. Strong understanding of machine learning algorithms and techniques. Proficiency in programming languages such as Python, R, or Java. Excellent analytical and problem-solving skills. Ability to work independently and in a team environment. If you are passionate about AI and eager to learn, we want to hear from you!

Overview Annalect India is seeking a Specialist (Data Analytics-Alteryx) with strong accounting and analytical skills to help support the business finance teams that continues to deliver strong financial performance. This might be a great fit if you have a strong flair of analytical and accounting skills and would like to be part of a growing team. You will be closely working with our Global Agency Finance teams. About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. Location: Hyderabad/Bangalore/Gurgaon Shift Timing: 2PM-11PM Mode: Hybrid (3 days working from office in a week) Experience: 6-9 years Responsibilities Client & Agency Service: We're looking for a Data Specialist skilled in both data analysis and data modeling. The candidate is expected to have expert-level Alteryx skills for data preparation, automation, and transforming complex datasets into actionable insights. We are also looking for a candidate with strong communication skills and is comfortable with presenting and proposing their own solutions and ideas. While not required, proficiency in programming languages (e.g., Python, R) and SQL experience would be a great advantage. This role drives strategic decisions through data-driven recommendations. Responsibilities: Technical Data Analysis and Data Modeling: Proven experience in performing comprehensive data analysis, including trend identification, statistical analysis, and predictive modeling. Demonstrated ability to design, develop, and maintain robust data models that support business intelligence and reporting needs. Minimum 5 years of expert-level proficiency with Alteryx for data blending, transformation, and workflow automation. Risk Management: Identify, communicate, and manage project risks within and across teams. Escalate risks as needed and lead efforts to mitigate them. Ability to manage expectations Proficient in unit, integration, and performance testing in regard to programs, automation, and engineering project life-cycles Communication: Ability to communicate with both the team and management regarding the status of current project initiatives; Communicate with project lead regarding project health, status, and risks Ability to work closely with team members on collaborative initiatives, both on individual projects and on teamwide projects

ClanX is looking for Senior Machine Learning Engineer - Web3 to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazons growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREFs cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organizations strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organizations analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Excellent problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages

Data Scientist II With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview As a Data Scientist II / III, you will be responsible for solving complex business problems using advanced data science techniques. You will lead the design and development of machine learning models, conduct statistical analyses, and collaborate with cross-functional teams to drive actionable insights. Your role will include both technical hands-on work and mentorship of junior data scientists. Job Location : Gurgaon / Bengaluru Key Responsibilities Assist in the development and implementation of machine learning models and algorithms to address business problems, including predictive modeling, classification, regression, clustering, and natural language processing (NLP). Conduct statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Work with senior data scientists and business stakeholders to understand project goals and contribute to data-driven solutions. Support the design and maintenance of data pipelines for data preprocessing, model training, evaluation, and basic deployment. Collaborate with software and data engineering teams to ensure smooth integration of models into production environments. Create dashboards, visualizations, and reports to communicate findings clearly to business users. Contribute to codebase quality and documentation, following best practices for reproducibility and scalability. Keep abreast of industry trends in machine learning and data science tools, and share relevant learnings with the team. Participate in model validation, tuning, and performance monitoring to improve model accuracy and efficiency. Qualifications & skills required 3 - 6 years of experience in data science, machine learning, or a related field, with a strong portfolio of projects. Advanced knowledge of machine learning algorithms (e.g., random forests, gradient boosting, deep learning) and statistical methods. Proficiency in programming languages such as Python, R, and SQL. Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.\ Strong experience working with large datasets, data cleaning, and preprocessing. Solid understanding of data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. Strong problem-solving skills and the ability to think critically about data and its implications for business strategy. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience in mentoring junior data scientists and leading data science projects is highly preferred. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com. Get a glimpse of what Life at Junglee Games looks like on LinkedIn. Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

As an Appication Deveoper, you wi ead IBM into the future by transating system requirements into the design and deveopment of customized systems in an agie environment. The success of IBM is in your hands as you transform vita business needs into code and drive innovation. Your work wi power IBM and its cients gobay, coaborating and integrating code into enterprise systems. You wi have access to the atest education, toos and technoogy, and a imitess career path with the word’s technoogy eader. Come to IBM and make a goba impact! The abiity to be a team payer The abiity and ski to train other peope in procedura and technica topics Strong communication and coaboration skis Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Strong knowedge and experience in database design, modeing and deveopment using PL SQL. Minimum of 6 years. Proficiency with Orace databases and toos, such as SQL Deveoper and Toad In-depth understanding of SQL tuning and optimization techniques Knowedge of database performance monitoring and troubeshooting Famiiarity with ETL processes and data integration techniques and Strong anaytica and probem-soving skis Preferred technica and professiona experience Abiity to work in a fast-paced environment and meet deadines Knowedge of agie software deveopment practices is a pus Bacheor's degree in computer science or a reated fied is preferred, but not required

We are seeking a highy skied Advanced Anaytics Speciaist to join our dynamic team. The successfu candidate wi be responsibe for everaging advanced anaytics techniques to derive actionabe insights, inform business decisions, and drive strategic initiatives. This roe requires a deep understanding of data anaysis, statistica modeing, machine earning, and data visuaization. In this roe, you wi be responsibe for architecting and deivering AI soutions using cutting-edge technoogies, with a strong focus on foundation modes and arge anguage modes. You wi work cosey with customers, product managers, and deveopment teams to understand business requirements and design custom AI soutions that address compex chaenges. Experience with toos ike Github Copiot, Amazon Code Whisperer etc. is desirabe. Success is our passion, and your accompishments wi refect this, driving your career forward, propeing your team to success, and heping our cients to thrive. Day-to-Day Duties: Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Coaborate with deveopment teams to impement and iterate on POCs, ensuring aignment with customer requirements and expectations. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another, particuary COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowedge SharingDocument soution architectures, design decisions, impementation detais, and essons earned. Create technica documentation, white papers, and best practice guides. Contribute to interna knowedge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Deveop and impement advanced anaytica modes and agorithms to sove compex business probems. Anayze arge datasets to uncover trends, patterns, and insights that drive business performance. Coaborate with cross-functiona teams to identify key business chaenges and opportunities. Create and maintain data pipeines and workfows to ensure the accuracy and integrity of data. Design and deiver insightfu reports and dashboards to communicate findings to stakehoders. Stay up to date with the atest advancements in anaytics, machine earning, and data science. Provide technica expertise and mentorship to junior team members. QuaificationsBacheor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a reated fied.Proven experience in advanced anaytics, data science, or a simiar roe.Proficiency in programming anguages such as Python, R, or SQL.Experience with data visuaization toos ike Tabeau, Power BI, or simiar. Strong understanding of statistica modeing and machine earning agorithms.Exceent anaytica, probem-soving, and critica thinking skis.Abiity to communicate compex anaytica concepts to non-technica stakehoders.Experience with big data technoogies (e.g., Hadoop, Spark) is a pus. Preferred Skis: Famiiarity with coud-based anaytics patforms (e.g., AWS, Azure). Knowedge of natura anguage processing (NLP) and deep earning techniques. Experience with project management and agie methodoogies Preferred technica and professiona experience Famiiarity with coud-based anaytics patforms (e.g., AWS, Azure). Knowedge of natura anguage processing (NLP) and deep earning techniques. Experience with project management and agie methodoogies

Work with broader team to buid, anayze and improve the AI soutions. You wi aso work with our software deveopers in consuming different enterprise appications Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Resource shoud have 5-7 years of experience. Sound knowedge of Python and shoud know how to use the ML reated services. Proficient in Python with focus on Data Anaytics Packages. Strategy Anayse arge, compex data sets and provide actionabe insights to inform business decisions. Strategy Design and impementing data modes that hep in identifying patterns and trends. Coaboration Work with data engineers to optimize and maintain data pipeines. Perform quantitative anayses that transate data into actionabe insights and provide anaytica, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data patform. Deveop and maintain data modes, agorithms, and statistica modes Preferred technica and professiona experience Experience with conversation anaytics. Experience with coud technoogies Experience with data exporation toos such as Tabeu